Signal Processing as a Tool to Enhance Productivity in Industry - Measurement and Cancelation of Periodic Signals

Document type: Licentiates
Full text:
Author(s): Sven Olsson
Title: Signal Processing as a Tool to Enhance Productivity in Industry - Measurement and Cancelation of Periodic Signals
Series: Blekinge Institute of Technology Licentiate Dissertation Series
Year: 2006
Issue: 1
Pagination: 111
ISBN: 91-7295-079-X
ISSN: 1650-2140
Publisher: Blekinge Institute of Technology
City: Karlskrona
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
http://www.tek.bth.se/
Authors e-mail: sven.olsson@inductum.com
Language: English
Abstract: Preface
This licentiate thesis summarizes my work within the field of Signal Processing during my time in Signal Control Sweden AB from 1987 to 2002. The work has been performed in close co-operation the customers like Volvo Personvagnar AB, Sveriges Provnings- och forskningsinstitut and others. Most of the material has been published at various conferences together with the Department of Signal Processing at Blekinge Institute of Technology. However, here I have had the opportunity to expand the text to give a more thorough description of the algorithms that have been designed.

The thesis consists of five parts, which are:

Part
I
An Order Analysis Method for Interior Noise Measurements in Cars Based on a Virtual Tachometer.

II
A Fast Multi-plane Shaft Balancing Method for 4-Wheel Drive Cars.

III
Custom Designed Filters through Time-Window Modification.

IV
Active Vibration Control of Cutting Operations.

V
Adaptive Vibration Control of a Large Dimension Carbon Fiber Boring Bar.
Subject: Signal Processing\Detection and Classification
Signal Processing\Filter Design
Signal Processing\Active Noise and Vibration Control
Keywords: Order analysis, Multi-plane shaft balancing, Time-window modification, Active vibration control, Adaptive vibration control
URN: urn:nbn:se:bth-00327
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